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A new musculoskeletal AnyBodyTM detailed hand model

  • Musculoskeletal research questions regarding the prevention or rehabilitation of the hand can be addressed using inverse dynamics simulations when experiments are not possible. To date, no complete human hand model implemented in a holistic human body model has been fully developed. The aim of this work was to develop, implement, and validate a fully detailed hand model using the AnyBody Modelling System (AMS) (AnyBody, Aalborg, Denmark). To achieve this, a consistent multiple cadaver dataset, including all extrinsic and intrinsic muscles, served as a basis. Various obstacle methods were implemented to obtain with the correct alignment of the muscle paths together with the full range of motion of the fingers. These included tori, cylinders, and spherical ellipsoids. The origin points of the lumbrical muscles within the tendon of the flexor digitorum profundus added a unique feature to the model. Furthermore, the possibility of an entire patient-specific scaling based on the hand length and width were implemented in the model. For model validation, experimental datasets from the literature were used, which included the comparison of numerically calculated moment arms of the wrist, thumb, and index finger muscles. In general, the results displayed good comparability of the model and experimental data. However, the extrinsic muscles showed higher accordance than the intrinsic ones. Nevertheless, the results showed, that the proposed developed inverse dynamics hand model offers opportunities in a broad field of applications, where the muscles and joint forces of the forearm play a crucial role.

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Metadaten
Author:Lucas EngelhardtORCiD, Maximilian MelznerORCiD, Linda Havelkova, Pavel Fiala, Patrik Christen, Sebastian DendorferORCiD, Ulrich Simon
DOI:https://doi.org/10.1080/10255842.2020.1851367
Parent Title (English):Computer Methods in Biomechanics and Biomedical Engineering
Publisher:Taylor & Francis
Document Type:Article
Language:English
Year of first Publication:2020
Release Date:2021/02/26
Tag:AnyBody; Musculoskeletal; hand; inverse dynamics; moment arm
Volume:24
Issue:7
First Page:777
Last Page:787
Institutes:Fakultät Maschinenbau
Regensburg Center of Biomedical Engineering - RCBE
Fakultät Maschinenbau / Labor Biomechanik (LBM)
Begutachtungsstatus:peer-reviewed
research focus:Sensorik
OpenAccess Publikationsweg:Hybrid Open Access - OA-Veröffentlichung in einer Subskriptionszeitschrift/-medium
Licence (German):Creative Commons - CC BY - Namensnennung 4.0 International